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milk10k_effb2_metadata/models.py

@@ -91,6 +91,8 @@ class DualEffB2MetadataClassifier(nn.Module):
     ) -> torch.Tensor:
         clinical_features = self.clinical_encoder(clinical)
         dermoscopic_features = self.dermoscopic_encoder(dermoscopic)
+        clinical_features = torch.flatten(clinical_features, 1)
+        dermoscopic_features = torch.flatten(dermoscopic_features, 1)
         clinical_repr = self.clinical_head(clinical_features)
         dermoscopic_repr = self.dermoscopic_head(dermoscopic_features)
         metadata_repr = self.metadata_head(metadata)